List of Computer Science courses with video lectures.
Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.
Tutorials and programming exercises for learning Q# and quantum computing
An open-source Python framework for creating, editing, and invoking Noisy Intermediate-Scale Quantum (NISQ) circuits.
Microsoft Quantum Development Kit Samples
Qiskit is an open-source SDK for working with quantum computers at the level of circuits, algorithms, and application modules.
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
A curated list of awesome quantum computing learning and developing resources.
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Built by researchers, for research.
A list of resources in different fields of Computer Science
A collection of Jupyter notebooks showing how to use the Qiskit SDK
An open-source Python framework for hybrid quantum-classical machine learning.
QuTiP: Quantum Toolbox in Python
Curated list of open-source quantum software projects.
The electronic structure package for quantum computers.
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
A Python library for quantum programming using Quil.
Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
Quantum assembly language for extended quantum circuits
QPanda 2 is an open source quantum computing framework developed by OriginQC that can be used to build, run, and optimize quantum algorithms.
Created by Richard Feynman and Yuri Manin